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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Zero Shot Classification - Hugging Face Transformers.js</title> |
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<script type="module"> |
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import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4'; |
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window.pipeline = pipeline; |
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</script> |
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet"> |
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<link rel="stylesheet" href="css/styles.css"> |
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</head> |
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<body> |
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<div class="container-main"> |
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<div class="header"> |
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<div class="header-logo"> |
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<img src="images/logo.png" alt="logo"> |
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</div> |
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<div class="header-main-text"> |
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<h1>Hugging Face Transformers.js</h1> |
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</div> |
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<div class="header-sub-text"> |
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<h3>Free AI Models for JavaScript Web Development</h3> |
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</div> |
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</div> |
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<hr> |
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<div class="row mt-5"> |
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<div class="col-md-12 text-center"> |
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<a href="index.html" class="btn btn-outline-secondary" |
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style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
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</div> |
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</div> |
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<div class="container mt-5"> |
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<div class="text-center"> |
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<h2>Natural Language Processing</h2> |
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<h4>Zero Shot Classification</h4> |
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</div> |
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<div id="zero-shot-classification-container" class="container mt-4"> |
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<h5>Zero Shot Classification with Xenova/mobilebert-uncased-mnli:</h5> |
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<div class="d-flex align-items-center mb-2"> |
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<label for="textText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> |
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<input type="text" class="form-control flex-grow-1" id="textText" value="Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app." |
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placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> |
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</div> |
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<div class="d-flex align-items-center"> |
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<label for="labelsText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> |
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<input type="text" class="form-control flex-grow-1" id="labelsText" value="mobile, billing, website, account access" |
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placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> |
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<button id="classifyButton" class="btn btn-primary ml-2" |
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onclick="classifyText()">Classify</button> |
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</div> |
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<div class="mt-4"> |
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<h4>Output:</h4> |
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<pre id="outputArea"></pre> |
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</div> |
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</div> |
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<hr> |
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<div id="zero-shot-classification-container-multi" class="container mt-4"> |
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<h5>Zero Shot Classification with Xenova/nli-deberta-v3-xsmall (Multi-Label):</h5> |
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<div class="d-flex align-items-center mb-2"> |
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<label for="textTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> |
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<input type="text" class="form-control flex-grow-1" id="textTextMulti" value="I have a problem with my iphone that needs to be resolved asap!" |
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placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> |
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</div> |
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<div class="d-flex align-items-center"> |
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<label for="labelsTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> |
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<input type="text" class="form-control flex-grow-1" id="labelsTextMulti" value="urgent, not urgent, phone, tablet, computer" |
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placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> |
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<button id="classifyButtonMulti" class="btn btn-primary ml-2" |
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onclick="classifyTextMulti()">Classify</button> |
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</div> |
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<div class="mt-4"> |
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<h4>Output:</h4> |
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<pre id="outputAreaMulti"></pre> |
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</div> |
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</div> |
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<div class="row mt-5"> |
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<div class="col-md-12 text-center"> |
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<a href="index.html" class="btn btn-outline-secondary" |
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style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
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</div> |
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</div> |
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</div> |
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</div> |
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<script> |
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let classifier; |
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let classifierMulti; |
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async function initializeModel() { |
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classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli'); |
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classifierMulti = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall'); |
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} |
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async function classifyText() { |
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const text = document.getElementById("textText").value.trim(); |
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const labels = document.getElementById("labelsText").value.trim().split(",").map(item => item.trim()); |
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const result = await classifier(text, labels); |
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document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); |
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} |
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async function classifyTextMulti() { |
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const text = document.getElementById("textTextMulti").value.trim(); |
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const labels = document.getElementById("labelsTextMulti").value.trim().split(",").map(item => item.trim()); |
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const result = await classifierMulti(text, labels, { multi_label: true }); |
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document.getElementById("outputAreaMulti").innerText = JSON.stringify(result, null, 2); |
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} |
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window.addEventListener("DOMContentLoaded", initializeModel); |
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</script> |
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</body> |
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</html> |
